Nearthlab vs World Labs

World Labs has a disclosed valuation of $5B, while Nearthlab's valuation is not publicly available, making a direct size comparison difficult. World Labs employs 50-200 people.

World Labs has raised more in total funding at $1.2B, compared to Nearthlab's $15M — a gap of $1.2B. Combined, the two companies have completed 4 known funding rounds.

World Labs leads with an Awaira Score of 75/100, while Nearthlab sits at 40/100. That 35-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Nearthlab was founded by Thomas Kim in 2015. World Labs was founded by Fei-Fei Li in 2024. Visit each company's profile on Awaira for a full founder biography.

Nearthlab: Nearthlab develops AI-powered drone inspection software for wind turbines and critical infrastructure, using computer vision models to automatically detect and classify structural defects from aerial images captured by inspection drones, replacing manual rope access inspection with automated drone-and-AI workflows that are safer, faster, and more consistent. The Seoul company platform processes blade inspection imagery to identify cracks, erosion, and lightning strike damage across the turbine blade surface.\n\nThe company raised approximately $15 million in venture funding and has deployed its inspection platform across wind farms in South Korea, Europe, and North America. Nearthlab has built partnerships with drone hardware manufacturers and wind energy operators, positioning the platform within existing operational maintenance workflows. The company reports that its AI defect detection achieves accuracy comparable to expert human inspectors on standardised blade damage classification tasks.\n\nNearthlab competes in the AI infrastructure inspection market against Cyberhawk, Apellix, and DroneBase, as well as in-house drone inspection programs at major wind turbine manufacturers including Vestas and Siemens Gamesa. The wind energy sector represents a growing market for automated inspection as global installed wind capacity expands and blade maintenance costs become a significant component of wind farm operating expenditure. AI-powered defect detection that can prioritise maintenance work orders based on damage severity provides direct cost reduction for wind farm operators managing large fleets of turbines across geographically distributed sites. World Labs: World Labs is an AI research and product company building spatial intelligence systems capable of generating, understanding, and reasoning about three-dimensional worlds. The company is developing large world models (LWMs) that can produce coherent, physically plausible 3D environments from images or descriptions, with intended applications in gaming, simulation, robotics, and creative media.\n\nThe company raised approximately 230 million USD in one of the largest Series A rounds in AI history, backed by prominent venture capital firms attracted by the technical credentials of its founding team. World Labs was founded by Fei-Fei Li, the Stanford AI Lab director widely credited with creating ImageNet, the benchmark dataset that catalyzed the deep learning revolution in computer vision.\n\nSpatial AI and 3D world generation represent a frontier capability with applications across multiple large markets including video game development, architectural visualization, autonomous vehicle simulation, and virtual production. The founding team technical pedigree and the scale of initial funding position World Labs as one of the most watched early-stage AI companies, with the expectation that breakthrough spatial intelligence capabilities could redefine how 3D content is created and how AI systems perceive and navigate physical environments.

Nearthlab got there first, launching in 2015 — that's 9 years of extra runway. World Labs didn't arrive until 2024. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Nearthlab has about 1-50 employees; World Labs has about 50-200. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Nearthlab and World Labs compete in Computer Vision, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.